Hyperparameter optimization for cardiovascular disease data-driven prognostic system [0.03%]
心血管疾病数据驱动的预后系统的超参数优化
Jayson Saputra,Cindy Lawrencya,Jecky Mitra Saini et al.
Jayson Saputra et al.
Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on medical examinations and patient symptoms are the biggest challenges in medicine. About 17.9 million people die from CVDs annually, accounting for 31% ...
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images [0.03%]
基于医学二维图像三维重建的方法和原理综述
Mriganka Sarmah,Arambam Neelima,Heisnam Rohen Singh
Mriganka Sarmah
Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, d...
Vision transformer architecture and applications in digital health: a tutorial and survey [0.03%]
视觉变换器在数字健康中的架构与应用：教程和综述
Khalid Al-Hammuri,Fayez Gebali,Awos Kanan et al.
Khalid Al-Hammuri et al.
The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This artic...
DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentation [0.03%]
DB-DCAFN：双分支可变形交叉注意融合网络在细菌分割中的应用
Jingkun Wang,Xinyu Ma,Long Cao et al.
Jingkun Wang et al.
Sputum smear tests are critical for the diagnosis of respiratory diseases. Automatic segmentation of bacteria from sputum smear images is important for improving diagnostic efficiency. However, this remains a challenging task owing to the h...
Chuang Niu,Ge Wang
Chuang Niu
Ying Zhang,Karsten Klein,Falk Schreiber et al.
Ying Zhang et al.
More diverse data on animal ecology are now available. This "data deluge" presents challenges for both biologists and computer scientists; however, it also creates opportunities to improve analysis and answer more holistic research question...
Jun-Feng Yao,Yong Yang,Xue-Cheng Wang et al.
Jun-Feng Yao et al.
As one of the most important applications of digitalization, intelligence, and service, the digital twin (DT) breaks through the constraints of time, space, cost, and security on physical entities, expands and optimizes the relevant functio...
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential [0.03%]
使用ChatGPT和GPT-4及提示学习将放射学报告翻译成通俗语言：结果、限制及潜在应用
Qing Lyu,Josh Tan,Michael E Zapadka et al.
Qing Lyu et al.
The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on translating radiology rep...
EM-Gaze: eye context correlation and metric learning for gaze estimation [0.03%]
EM-Gaze：用于凝视估计的眼部情境关联和度量学习方法
Jinchao Zhou,Guoan Li,Feng Shi et al.
Jinchao Zhou et al.
In recent years, deep learning techniques have been used to estimate gaze-a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular ...
Simulation and optimization of scrap wagon dismantling system based on Plant Simulation [0.03%]
基于Plant Simulation的废旧车皮拆解系统仿真与优化
Hai-Qing Chen,Yu-De Dong,Fei Hu et al.
Hai-Qing Chen et al.
Based on the existing plant layout and process flow, a simulation analysis was conducted using the Plant Simulation platform with the utilization efficiency of each station and production capacity of the dismantling system as indicators. A ...